The If Machine 2nd Edition

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The If Machine, 2nd edition

Author : Peter Worley
Publisher : Bloomsbury Publishing
ISBN 13 : 1472969065
Total Pages : 232 pages
Book Rating : 4.4/5 (729 download)

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Book Synopsis The If Machine, 2nd edition by : Peter Worley

Download or read book The If Machine, 2nd edition written by Peter Worley and published by Bloomsbury Publishing. This book was released on 2019-07-25 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fully updated edition with five brand new sessions and bonus features. Fully updated with new developments in the theory and practice of teaching philosophy, this new edition of the bestselling book, The If Machine, presents 30 clear, ready-to-use plans to teach philosophy in the classroom with children aged five to 13. Each tried-and-tested session offers an imaginary situation, followed by a series of questions to encourage children to challenge key philosophical ideas such as values and ethics, gender and identity, and existence and beauty. With a star system indicating the level of difficulty, this practical book by Peter Worley, founder of The Philosophy Foundation, outlines Peter's philosophical enquiry method, which he has developed over 20 years of teaching. This fantastic resource also includes a new hints and tips section, as well as a troubleshooting table with guidance and links to further resources about how to deal with common problems such as unanimity. Accompanied by a companion website featuring an introduction to the philosophy that inspired the ideas, The If Machine is a must-have resource for all classrooms.

The If Machine

Author : Peter Worley
Publisher : Bloomsbury Publishing
ISBN 13 : 1441136827
Total Pages : 217 pages
Book Rating : 4.4/5 (411 download)

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Book Synopsis The If Machine by : Peter Worley

Download or read book The If Machine written by Peter Worley and published by Bloomsbury Publishing. This book was released on 2010-12-23 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each session in this practical book offers an imaginary situation, followed by a series of questions to encourage children to challenge key philosophical ideas such as values and ethics, gender and identity, and existence and beauty. All the enquiries have been tried and tested, and a handy star system is included to indicate the difficulty level of each one. With a comprehensive introduction and key sections on the philosophy behind the experiments, this book also includes an online teacher's resource to guide practitioners through using the sessions to best effect in the classroom.

The If Machine, 2nd edition

Author : Peter Worley
Publisher : Bloomsbury Publishing
ISBN 13 : 1472969073
Total Pages : 232 pages
Book Rating : 4.4/5 (729 download)

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Book Synopsis The If Machine, 2nd edition by : Peter Worley

Foundations of Machine Learning, second edition

Author : Mehryar Mohri
Publisher : MIT Press
ISBN 13 : 0262351366
Total Pages : 505 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Foundations of Machine Learning, second edition by : Mehryar Mohri

Download or read book Foundations of Machine Learning, second edition written by Mehryar Mohri and published by MIT Press. This book was released on 2018-12-25 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.

Machine Learning

Author : Stephen Marsland
Publisher : CRC Press
ISBN 13 : 1420067192
Total Pages : 407 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Machine Learning by : Stephen Marsland

Download or read book Machine Learning written by Stephen Marsland and published by CRC Press. This book was released on 2011-03-23 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional books on machine learning can be divided into two groups- those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but

Data Mining

Author : Ian H. Witten
Publisher : Elsevier
ISBN 13 : 0080890369
Total Pages : 665 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Data Mining by : Ian H. Witten

Download or read book Data Mining written by Ian H. Witten and published by Elsevier. This book was released on 2011-02-03 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. - Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects - Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods - Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

Introduction to Machine Learning

Author : Ethem Alpaydin
Publisher : MIT Press
ISBN 13 : 0262028182
Total Pages : 639 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Introduction to Machine Learning by : Ethem Alpaydin

Download or read book Introduction to Machine Learning written by Ethem Alpaydin and published by MIT Press. This book was released on 2014-08-22 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.

The If Odyssey

Author : Peter Worley
Publisher : A&C Black
ISBN 13 : 1441174958
Total Pages : 204 pages
Book Rating : 4.4/5 (411 download)

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Book Synopsis The If Odyssey by : Peter Worley

Download or read book The If Odyssey written by Peter Worley and published by A&C Black. This book was released on 2012-12-06 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Homer's epic tales as inspiration, this book offers teachers session plans and storytelling tips to facilitate philosophical discussions with children aged 9-14.

Reinforcement Learning, second edition

Author : Richard S. Sutton
Publisher : MIT Press
ISBN 13 : 0262352702
Total Pages : 549 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton

Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

The Philosophy Foundation

Author : Peter Worley
Publisher : Crown House Publishing
ISBN 13 : 1781350612
Total Pages : 374 pages
Book Rating : 4.7/5 (813 download)

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Book Synopsis The Philosophy Foundation by : Peter Worley

Download or read book The Philosophy Foundation written by Peter Worley and published by Crown House Publishing. This book was released on 2012-09-30 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine a one-stop shop stacked to the rafters with everything you could ever want to tap into young people's natural curiosity and get them thinking deeply. Well, this is it! Edited by professional philosopher Peter Worley from The Philosophy Shop and with a foreword by Ian Gilbert, this book is jam-packed with ideas, stimuli, thought experiments, activities, short stories, pictures and questions to get young people thinking philosophically. Primarily aimed at teachers to use as a stimuli for philosophical enquiries in the classroom or even as starter activities to get them thinking from the off, it can also be used by parents for some great family thinking or indeed anyone fed up of being told what to think (or urged not to think) and who wants a real neurological workout. The proceeds of the book are going towards The Philosophy Foundation charity.

Blogging

Author : Jill Walker Rettberg
Publisher : John Wiley & Sons
ISBN 13 : 0745655963
Total Pages : 239 pages
Book Rating : 4.7/5 (456 download)

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Book Synopsis Blogging by : Jill Walker Rettberg

Download or read book Blogging written by Jill Walker Rettberg and published by John Wiley & Sons. This book was released on 2013-08-20 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blogging has profoundly influenced not only the nature of the internet today, but also the nature of modern communication, despite being a genre invented less than a decade ago. This book-length study of a now everyday phenomenon provides a close look at blogging while placing it in a historical, theoretical and contemporary context. Scholars, students and bloggers will find a lively survey of blogging that contextualises blogs in terms of critical theory and the history of digital media. Authored by a scholar-blogger, the book is packed with examples that show how blogging and related genres are changing media and communication. It gives definitions and explains how blogs work, shows how blogs relate to the historical development of publishing and communication and looks at the ways blogs structure social networks and at how social networking sites like MySpace and Facebook incorporate blogging in their design. Specific kinds of blogs discussed include political blogs, citizen journalism, confessional blogs and commercial blogs.

Statistical Inference

Author : George Casella
Publisher : CRC Press
ISBN 13 : 1040024025
Total Pages : 1746 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Statistical Inference by : George Casella

Download or read book Statistical Inference written by George Casella and published by CRC Press. This book was released on 2024-05-23 with total page 1746 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation. Features The classic graduate-level textbook on statistical inference Develops elements of statistical theory from first principles of probability Written in a lucid style accessible to anyone with some background in calculus Covers all key topics of a standard course in inference Hundreds of examples throughout to aid understanding Each chapter includes an extensive set of graduated exercises Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations. This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.

Write Great Code, Volume 1, 2nd Edition

Author : Randall Hyde
Publisher : No Starch Press
ISBN 13 : 171850036X
Total Pages : 474 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis Write Great Code, Volume 1, 2nd Edition by : Randall Hyde

Download or read book Write Great Code, Volume 1, 2nd Edition written by Randall Hyde and published by No Starch Press. This book was released on 2020-07-31 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the Machine, the first volume in the landmark Write Great Code series by Randall Hyde, explains the underlying mechanics of how a computer works. This, the first volume in Randall Hyde's Write Great Code series, dives into machine organization without the extra overhead of learning assembly language programming. Written for high-level language programmers, Understanding the Machine fills in the low-level details of machine organization that are often left out of computer science and engineering courses. Learn: How the machine represents numbers, strings, and high-level data structures, so you'll know the inherent cost of using them. How to organize your data, so the machine can access it efficiently. How the CPU operates, so you can write code that works the way the machine does. How I/O devices operate, so you can maximize your application's performance when accessing those devices. How to best use the memory hierarchy to produce the fastest possible programs. Great code is efficient code. But before you can write truly efficient code, you must understand how computer systems execute programs and how abstractions in programming languages map to the machine's low-level hardware. After all, compilers don't write the best machine code; programmers do. This book gives you the foundation upon which all great software is built. NEW IN THIS EDITION, COVERAGE OF: Programming languages like Swift and Java Code generation on modern 64-bit CPUs ARM processors on mobile phones and tablets Newer peripheral devices Larger memory systems and large-scale SSDs

40 lessons to get children thinking: Philosophical thought adventures across the curriculum

Author : Peter Worley
Publisher : Bloomsbury Publishing
ISBN 13 : 1472916107
Total Pages : 194 pages
Book Rating : 4.4/5 (729 download)

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Book Synopsis 40 lessons to get children thinking: Philosophical thought adventures across the curriculum by : Peter Worley

Download or read book 40 lessons to get children thinking: Philosophical thought adventures across the curriculum written by Peter Worley and published by Bloomsbury Publishing. This book was released on 2015-10-31 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the type of book many teachers will keep on their desk and use the exercises very regularly; for me it is up there with Geoff Petty's 'Evidence-Based Teaching' and Paul Ginnis's 'The Teacher's Toolkit' as an essential resource. Worley is an excellent clear writer, who communicates very complex ideas very well.” Francis Gilbert [http://www.francisgilbert.co.uk/], teacher, teacher trainer and author of ' I'm a Teacher, Get Me Out of Here' Inspire your class to think more deeply about curriculum subjects and get them actively taking part in exciting philosophy experiments today! This new book by bestselling author and founder of The Philosophy Foundation Peter Worley is a collection of practical lesson and activity plans to use in the primary classroom to get children thinking philosophically and creatively around different curriculum areas. The sessions - called thought adventures - use thought experiments, stories and poems to get children discussing and understanding topics more deeply. Each session is explained step-by-step, with everything you need to 'do' and 'say' spelled out, and all the equipment you need listed with instructions on how to set up each session. You can implement the sessions in the classroom either as a complete lesson or as an activity within another lesson. All the sessions are tried and tested by Peter and his colleagues at The Philosophy Foundation who work with primary schools on a regular basis.

From Dissertation to Book

Author : William Germano
Publisher : University of Chicago Press
ISBN 13 : 022606218X
Total Pages : 178 pages
Book Rating : 4.2/5 (26 download)

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Book Synopsis From Dissertation to Book by : William Germano

Download or read book From Dissertation to Book written by William Germano and published by University of Chicago Press. This book was released on 2014-02-27 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to transform a thesis into a publishable work that can engage audiences beyond the academic committee. When a dissertation crosses my desk, I usually want to grab it by its metaphorical lapels and give it a good shake. “You know something!” I would say if it could hear me. “Now tell it to us in language we can understand!” Since its publication in 2005, From Dissertation to Book has helped thousands of young academic authors get their books beyond the thesis committee and into the hands of interested publishers and general readers. Now revised and updated to reflect the evolution of scholarly publishing, this edition includes a new chapter arguing that the future of academic writing is in the hands of young scholars who must create work that meets the broader expectations of readers rather than the narrow requirements of academic committees. At the heart of From Dissertation to Book is the idea that revising the dissertation is fundamentally a process of shifting its focus from the concerns of a narrow audience—a committee or advisors—to those of a broader scholarly audience that wants writing to be both informative and engaging. William Germano offers clear guidance on how to do this, with advice on such topics as rethinking the table of contents, taming runaway footnotes, shaping chapter length, and confronting the limitations of jargon, alongside helpful timetables for light or heavy revision. Germano draws on his years of experience in both academia and publishing to show writers how to turn a dissertation into a book that an audience will actually enjoy, whether reading on a page or a screen. He also acknowledges that not all dissertations can or even should become books and explores other, often overlooked, options, such as turning them into journal articles or chapters in an edited work. With clear directions, engaging examples, and an eye for the idiosyncrasies of academic writing, he reveals to recent PhDs the secrets of careful and thoughtful revision—a skill that will be truly invaluable as they add “author” to their curriculum vitae.

Artificial Intelligence By Example

Author : Denis Rothman
Publisher : Packt Publishing Ltd
ISBN 13 : 1839212810
Total Pages : 579 pages
Book Rating : 4.8/5 (392 download)

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Book Synopsis Artificial Intelligence By Example by : Denis Rothman

Download or read book Artificial Intelligence By Example written by Denis Rothman and published by Packt Publishing Ltd. This book was released on 2020-02-28 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions. What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book.

Principles of Electric Machines and Power Electronics

Author : P. C. Sen
Publisher : New York ; Toronto : J. Wiley
ISBN 13 :
Total Pages : 648 pages
Book Rating : 4.3/5 (97 download)

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Book Synopsis Principles of Electric Machines and Power Electronics by : P. C. Sen

Download or read book Principles of Electric Machines and Power Electronics written by P. C. Sen and published by New York ; Toronto : J. Wiley. This book was released on 1997 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition combines the traditional areas of electric machinery with the latest in modern control and power electronics. It includes coverage of multi-machine systems, brushless motors and switched reluctance motors, as well as constant flux and constant current operation of induction motors. It also features additional material on new solid state devices such as Insulated Gate Bipolar Transistors and MOS-Controlled Thrysistors.